Senior/Staff Data Scientist - Core Tech Data Science

  • Full-time

Company Description

Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.

Job Description

You will be a key member of the CoreTech Data Science team, which works closely with the CoreTech Business Intelligence team and our partners in Twitter’s engineering infrastructure organization, which spans from site reliability to machine learning platform to developer tools. In your capacity as the tech lead of this team, you will be responsible for thinking about the overall quality and direction of the data science team’s work, as well as thinking about what is missing to help evolve it to the next level of maturity.

 

As a Senior/Staff Data Scientist on the CoreTech DS team you will:

  • Conduct analyses to derive strategic insights from vast datasets across different teams.
  • Apply sophisticated statistical techniques to model developer workflows and engineering effectiveness, identify causal impact and attribution, build and benchmark metrics, and forecast future performance.
  • Communicate findings to executives and cross-functional teams by translating statistically rigorous analyses towards business impact.
  • Improve the reproductivity and efficiency of analysis work through code review and other established processes.

Qualifications

  • Advanced degree in quantitative analysis field and 5+ years of experience (or 7+ years of experience).
  • Focus on learning on the job, taking initiative, and can thrive within a large team where you seek to mentor others.
  • Own impactful projects from start to finish and influence organizations through cross functional efforts.
  • Track record of mentorship and technical leadership
  • Experience with at least one of the following: causal measurements, time series forecasting, graph analysis methods, and metric design
  • Experience with SQL and an analytical programming language such as Python or R

Additional Information

Job opportunities should be equal. We don't discriminate. Period. In legal terms, that means: Twitter is an equal opportunity employer and doesn’t discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other legally protected status.

San Francisco applicants: In response to the San Francisco Fair Chance Ordinance, we’d like to mention that we consider qualified applicants with arrest and conviction records.

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